Solutions Architect - Core FSI
Shapes customer data and AI architectures, leads technical pre-sales engagements, and delivers proofs of concept using the Databricks platform. Requires 8+ years in data engineering, data science, architecture, or consulting, plus big data, distributed systems, coding, and public cloud experience.
About the job
Responsibilities
- Provide technical leadership alongside the sales team, helping customers understand how Databricks can solve their business problems.
- Develop account strategies and execute them to help customers and prospects achieve business outcomes with Databricks.
- Consult on big data architectures and implement proofs of concept for data engineering, data science, machine learning, and SQL analysis workflows.
- Validate integrations with cloud services, internal tools, and third-party applications.
- Collaborate with other Solutions Architects to support customers and users.
- Promote Databricks open-source projects, including Apache Spark, Delta Lake, and MLflow, and recruit contributors from the developer community.
- Work with product and engineering teams to advocate for customers and influence the Databricks roadmap.
- Guide customers through competitive landscapes, best practices, and implementation, while developing technical champions.
- Travel to customers in the region as needed.
Requirements
- 8+ years of experience in data engineering, data science, technical architecture, pre-sales, consulting, or a similar role.
- 8+ years of experience with big data technologies, including Apache Spark, AI, data science, data engineering, Hadoop, and Cassandra.
- Strong consulting and customer-facing experience with external clients across multiple industries.
- Coding experience in Python, R, Java, Apache Spark, or Scala.
- Experience building distributed data systems.
- Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
Nice to Have
- Databricks Certification.
Benefits
- Comprehensive benefits and perks designed to meet employees' needs, with region-specific details available from Databricks.
Skills
Spark, Python, R, Java, Scala, AWS, Azure, GCP, Hadoop, Cassandra, Delta Lake, MLflow, Machine Learning, SQL, Distributed Systems
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